The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Development of a carbon quantum dots-based fluorescent Cu2+ probe suitable for living cell imaging
Abstract
An efficient strategy for selective fluorescent detection of Cu(2+) was developed based on the carbon quantum dots (CQDs) nanoconjugated with a specific organic molecule, amino TPEA, and further applied to intracellular sensing and imaging of Cu(2+) as a consequence of the fluorescence properties and the established low cytotoxicity of CQDs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Neurodegenerative diseases and oxidative stress
Barnham, K. J., Masters, C. L., & Bush, A. I. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1330 · Cited by 3,683
Essentiality of copper in humans
Uauy, R., Olivares, M., & Gonzalez, M. (1998) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/67.5.952s · Cited by 1,052
Cited by
Carbon dots: Surface engineering and applications
Liu, W., Li, C., Ren, Y., Sun, X., Pan, W., Li, Y., Wang, J., & Wang, W. (2016) · Journal of Materials Chemistry B · doi:10.1039/c6tb00976j · Cited by 389
Green synthesis of highly fluorescent carbon quantum dots from sugarcane bagasse pulp
S., T., & D., R. S. (2016) · Applied Surface Science · doi:10.1016/j.apsusc.2016.08.106 · Cited by 365
Carbon Dots Based Dual-Emission Silica Nanoparticles as a Ratiometric Nanosensor for Cu2+
Liu, X., Zhang, N., Bing, T., & Shangguan, D. (2014) · Analytical Chemistry · doi:10.1021/ac404236y · Cited by 308
Sciortino, A., Cannizzo, A., & Messina, F. (2018) · C · doi:10.3390/c4040067 · Cited by 253
Cui, Z., Bu, W., Fan, W., Zhang, J., Ni, D., Liu, Y., Wang, J., Liu, J., Yao, Z., & Shi, J. (2016) · Biomaterials · doi:10.1016/j.biomaterials.2016.06.056 · Cited by 83
Metadata
- Authors
- Qu, Q., Zhu, A., Shao, X., Shi, G., & Tian, Y.
- Venue
- Chemical Communications
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2012
- Volume
- 48
- Issue
- 44
- Pages
- 5473
- ISSN
- 1359-7345 (ISSN-L)
- 1364-548X
- OpenAlex
- W2002666551
- Cited by
- 240
- References
- 2
- FWCI
- 13.03
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Development of a carbon quantum dots-based fluorescent Cu2+ probe suitable for living cell imaging. https://app.cochat.ai/papers/10.1039/c2cc31000g
- The paper
- Qu, Q., Zhu, A., Shao, X., Shi, G., & Tian, Y. (2012). Development of a carbon quantum dots-based fluorescent Cu2+ probe suitable for living cell imaging. Chemical Communications. https://doi.org/10.1039/c2cc31000g
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.